Engineering Jobs Remote Jobs in None, CA

Senior Java/Kotlin engineer
Remote
6+ Month Contract: $70-$80 per hour

Our client is in search of a Senior Java Engineer for a 6+ month contract. You will lead the development and testing of our systems and services Participate in shaping the technical architecture of the product Help translate product requirements into user stories and technical solutions Deliver highly available and scalable services in a production environment Mentor other engineers, support the technical culture, and help grow the team Generate ideas for new initiatives and technologies Communicate with project leads, product managers and other software developers

• Systems Development: Lead and participate in the development and testing of our systems and services.

• Requirement Translation: Help translate product requirements into user stories and actionable technical solutions.

• Production Delivery: Deliver highly available and scalable services in a production environment.

• Cross-Functional Collaboration: Communicate effectively with project leads, product managers, and other software developers.

• Education: Bachelor's Degree in Computer Science or a related field.

• Experience: 4+ years of programming experience, ideally using a modern stack.

• Backend Expertise: 2+ years of experience with Java or Kotlin.

• Core Stack Knowledge: Familiarity with our environment ( Java/Kotlin, Spring, PostgreSQL, React) running on Kubernetes within a service-oriented architecture (100+ services).

• Database Proficiency: A solid understanding of relational databases and ORMs.

• Architecture: Experience working on SOA or microservice-based applications.

• Quality Standards: View Unit and Integration tests as first-class citizens in the software development lifecycle.

• Collaborative Workflow: Experience refining designs, performing code reviews, and managing pull requests in a team environment.

• Ownership & Mindset: * A solid sense of responsibility and the ability to drive projects from inception to completion

• Full-Stack Experience: Additional expertise in any of the following areas:

  • Systems: Kafka, Temporal, Docker, POSIX.

  • Databases: Deep PostgreSQL knowledge.

  • Front-End: JavaScript/TypeScript, React.

Bonus Skills
Banking or finance experience Experience scaling highly available, mission critical systems Full-stack experience, either toward systems (kafka, temporal, docker), databases (DynamoDB), or front-end (javascript/typescript, react).

Welcome to ConsultNet, a premier national provider of technology talent and solutions. Our expertise spans across project services, contract-to-hire, direct search, and managed services onshore, nearshore, and hybrid. For over 25 years, we have connected thousands of consultants with meaningful roles through a personal, communication-driven approach, partnering with a diverse client base to build high-performing teams and create lasting impact. Our comprehensive service offerings cover a wide range of technology and engineering positions across key markets nationwide. Learn more at .

We champion equality and inclusivity, proudly supporting an Equal Opportunity Employer policy. We welcome applicants regardless of Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other status protected by law.

Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA

Title: Machine Learning Engineer

Location: San Jose, CA

Responsibilities:

• Productize and optimize models from Research into reliable, performant, and cost-efficient services with clear SLOs (latency, availability, cost).
• Scale training across nodes/GPUs (DDP/FSDP/ZeRO, pipeline/tensor parallelism) and own throughput/time-to-train using profiling and optimization.
• Implement model-efficiency techniques (quantization, distillation, pruning, KV-cache, Flash Attention) for training and inference without materially degrading quality.
• Build and maintain model-serving systems (vLLM/Triton/TGI/ONNX/TensorRT/AITemplate) with batching, streaming, caching, and memory management.
• Integrate with vector/feature stores and data pipelines (FAISS/Milvus/Pinecone/pgvector; Parquet/Delta) as needed for production.
• Define and track performance and cost KPIs; run continuous improvement loops and capacity planning.
• Partner with ML Ops on CI/CD, telemetry/observability, model registries; partner with Scientists on reproducible handoffs and evaluations.

Educational Qualifications:

• Bachelors in computer science, Electrical/Computer Engineering, or a related field required; Master’s preferred (or equivalent industry experience).
• Strong systems/ML engineering with exposure to distributed training and inference optimization.

Industry Experience:

• 3–5 years in ML/AI engineering roles owning training and/or serving in production at scale.
• Demonstrated success delivering high-throughput, low-latency ML services with reliability and cost improvements.
• Experience collaborating across Research, Platform/Infra, Data, and Product functions.

Technical Skills:

• Familiarity with deep learning frameworks: PyTorch (primary), TensorFlow.
• Exposure to large model training techniques (DDP, FSDP, ZeRO, pipeline/tensor parallelism); distributed training experience a plus
• Optimization: experience profiling and optimizing code execution and model inference: (PTQ/QAT/AWQ/GPTQ), pruning, distillation, KV-cache optimization, Flash Attention
• Scalable serving: autoscaling, load balancing, streaming, batching, caching; collaboration with platform engineers.
• Data & storage: SQL/NoSQL, vector stores (FAISS/Milvus/Pinecone/pgvector), Parquet/Delta, object stores.
• Write performant, maintainable code
• Understanding of the full ML lifecycle: data collection, model training, deployment, inference, optimization, and evaluation.

Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA

AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA

Title: AI Research Scientist

Location: San Jose, CA

Responsibilities:

• Design, execute, and analyze machine learning experiments, establishing strong baselines and selecting appropriate evaluation metrics.
• Stay up to date with the latest AI research; identify, adapt, and validate novel techniques for company-specific use cases.
• Define rigorous evaluation protocols, including offline metrics, user studies, and adversarial (red team) testing to ensure statistical soundness.
• Specify data and annotation requirements; develop annotation guidelines and oversee quality control processes.
• Collaborate closely with domain experts, product managers, and engineering teams to refine problem statements and operational constraints.
• Develop reusable research assets such as datasets, modular code components, evaluation suites, and comprehensive documentation.
• Work alongside ML Engineers to optimize training and inference pipelines, ensuring seamless integration into production systems.
• Contribute to academic publications and represent the company in research communities, as needed.

Educational Qualifications:

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field is strongly preferred.
• Candidates with a master’s degree and exceptional research or industry experience will also be considered.

Industry Experience:

• 3–5 years of experience in AI/ML research roles, ideally in applied or product-focused environments.
• Demonstrated success in delivering research-driven solutions that have been deployed in production.
• Experience collaborating in cross-functional teams across research, engineering, and product.
• Publications in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ACL, CVPR) are a plus.

Technical Skills:

• Strong foundational knowledge in machine learning and deep learning algorithms.
• Hands-on experience with PEFT/LoRA, adapters, fine-tuning techniques, and RLHF/RLAIF (e.g., PPO, DPO, GRPO).
• Ability to read, implement, and adapt state-of-the-art research papers to real-world use cases.
• Proficiency in hypothesis-driven experimentation, ablation studies, and statistically sound evaluations.
• Advanced programming skills in Python (preferred), C++, or Java.
• Experience with deep learning frameworks such as PyTorch, Hugging Face, NumPy, etc.
• Strong mathematical foundations in probability, linear algebra, and calculus.
• Domain expertise in one or more areas: natural language processing (NLP), symbolic reasoning, speech processing, etc.
• Ability to translate research insights into roadmaps, technical specifications, and product improvements.

AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA

Open date: November 21, 2025

Next review date: Monday, Mar 16, 2026 at 11:59pm (Pacific Time)

Apply by this date to ensure full consideration by the committee.

Final date: Friday, Nov 20, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

UC Berkeley Extension (UNEX), the continuing education branch of the University of California, Berkeley, has been building bridges between UC Berkeley and the public since 1891. UNEX serves the professional and continuing education goals of thousands of people each year and plays an essential part of the University mission to: extend the research and scholarship of UC Berkeley to a global community; increase access to higher education for non-traditional, online, and international students; and improve the workforce. UC Berkeley Extension is a part of the division under the leadership of the Dean of Extended Education that also includes Berkeley Summer Sessions, Berkeley Study Abroad, and Osher Lifelong Learning Institute.

UC Berkeley Extension invites applications for a pool of qualified, dynamic instructors with a commitment to professional and continuing education in Data Analytics, Data Science, Software Development, and Cybersecurity to teach one or more online courses each year for our Engineering, Technology, and Environmental Management department.

Courses are offered online:

• 
  
• Online instruction is delivered asynchronously through our learning management system (Canvas) or through synchronous live lectures (Zoom).
  
• Most synchronous live online lecture courses are offered in the evening and on the weekend (U.S.A. Pacific Time).
  

We are seeking qualified applicants who possess current subject matter expertise and/or teaching knowledge in (but not limited to) the following course subjects. For program and course descriptions, please refer to the departmental link below.

Data Analytics and Data Science

• 
  
• Introduction to SQL
  
• Introduction to Databases
  
• Data Warehousing and Business Intelligence
  
• Data Visualization
  
• Introduction to Data Analytics
  
• Python for Data Analysis
  
• R for Data Analysis
  
• Data Analytics Capstone
  
• Introduction to Big Data
  
• Introduction to Data Science
  
• Introduction to Machine Learning Using Python
  
• Machine Learning and Deep Learning
  
• Artificial Intelligence Foundations
  
• Data Science Capstone
  

Software Development and Advanced Software Development

• 
  
• Introduction to C Language Programming
  
• C++ Programming
  
• First Course in Java
  
• Programming Python
  
• Data Structures and Algorithms
  
• Front-End Web Development
  
• JavaScript Frameworks
  
• Modern Web Applications and Cloud Computing
  
• Software Design Patterns
  
• Software Quality Assurance
  
• Software Development Capstone
  
• Java: Discovering Its Power
  
• Mastering Python
  
• Back-End Development with Java/Python
  
• Web Software Security Frameworks
  
• Advanced Databases
  
• Advanced Software Development Capstone
  

Cybersecurity

• 
  
• Advanced Network Cybersecurity and AI Monitoring
  
• Cybersecurity AI Risk Management and Governance
  
• Automated Cybersecurity Incident Response and Digital Forensics
  
• Advanced Topics in AI Cybersecurity and Capstone
  

Other Data, Programming, Software Development, or Cybersecurity Courses or Subjects

(please specify in your cover letter)

The department seeks candidates who can support the success of all students through inclusive curriculum, classroom environment, and pedagogy. Specific duties and expectations will vary depending on the method of instruction including: Synchronous Live Online (Zoom); or Asynchronous Online (Start Anytime).

• 
  
• For synchronous instruction (live online courses), duties include but are not limited to: syllabus development; assignment development; lesson planning for class meetings; preparing and submitting required texts and course materials; reviewing and updating Canvas course site; and delivering lectures, presentations, and learning activities for all required hours of instruction.
  
• For asynchronous instruction (start anytime online courses), duties include but are not limited to: reviewing the syllabus and pre-populated online course content; learning and utilizing Canvas classroom management tools; and requesting any training needs from the Program Director or Department Director.
  
• For all instruction (regardless of course format) duties include but are not limited to: completing required trainings as mandated by the UC Presidential policies; responding to student questions and learning needs in a timely manner; grading student assignments and posting final student grades to the instructor portal in a timely manner; utilizing University-approved course support platforms including the Canvas Learning Management System, Zoom, Instructor Portal, Google Workspace, etc.; reviewing and following University and departmental policies, logistics, and other guidelines as published on the departmental Instructional Resource Site; and responding to other requests from the Program Director or Department Director in a timely manner.
  

• 
  
• All work must be performed in the United States, whether in person or online. Applicants must be authorized to work in the United States at the time of hire. Visa sponsorship is not available for this position.
  

Data Analytics, Data Science, Software Development, and Cybersecurity Programs: academic-areas/technology-and-information-management/#!?tab=programs&availability=all

Data Analytics, Data Science, Software Development, and Cybersecurity Programs: academic-areas/technology-and-information-management/#!?tab=courses

• 
  
• Bachelor's degree or equivalent international degree required.
  

• 
  
• 5 or more years of professional industry work experience since degree.
  

• 
  
• 6 or more years of professional industry work experience in the course subject.
  
• Advanced degree in course subject preferred.
  
• Teaching, training or coaching experience in the course subject, within a U.S. corporate environment, or at a U.S. college/university institution.
  
• Experience in creating syllabi, learning objectives, lectures/presentations, learning activities, assignments, assessments, exams, and quizzes.
  
• Experience teaching online and/or developing academic content for online courses.
  
• Ability to convey conceptual and complex ideas and information.
  
• Ability to support the success of all students through inclusive curriculum, classroom environment, and pedagogy.
  
• Effective verbal/written communication and presentation skills (English).
  
• Effective organizational skills with attention to detail.
  
• Ability to collaborate with colleagues and work within a team environment.
  
• Proficiency in (or willingness to learn) instructional and other technology, such as: Learning Management Systems (Canvas); lecture/presentation capture applications (Panopto); online video conferencing (Zoom); Microsoft Office (Word and PowerPoint); file sharing (Google drive or Dropbox); and Google Workspace tools (email, calendar, docs, sheets, slides, etc).
  

• Curriculum Vitae or Resume - Your most recently updated C.V. or resume.

  
  

• Cover Letter - Please discuss prior teaching experience, teaching approach, and other/future teaching interests. This can include, for example, specific efforts, accomplishments, and future plans to support the success of all students through inclusive curriculum, classroom environment, and pedagogy.
  
  (Optional)

  
  

• Sample Syllabi and/or Teaching Evaluations (Optional)

  
  

• 
  
• References are requested from candidates at the interviewing stage, and references are only contacted for finalists.
  

Help contact:

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• 
  
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

Who We Are

We are Skybound.

We love creators. We love fans. We love thrilling games, indelible images and moving stories. Our roots are in comics, but our brands extend to video games, television, movies, merchandise, and live experiences. We take special pride in original tales, fresh characters, and diverse voices.

From well-known franchises to freshly-minted originals, we offer the chance to join brilliant creators shaping a new generation of entertainment in a concentrated, agile environment where every perspective matters, and any idea can create a breakthrough.

Opportunity

Skybound is looking for an experienced and passionate Senior Systems Designer to help build a thrilling new game franchise. The Senior Systems Designers create rewarding loops that help players set goals, progress, and stay engaged over multiple play sessions. They craft and tune player advancement and rewards across the entire game.

You will collaborate closely with the Game Director, department leads, and cross-disciplinary teams to define and drive the strategic vision for player progression and meta systems. You’ll mentor other designers, establish best practices, and ensure the systems design team delivers high-quality, scalable solutions that support both gameplay and business goals.

If you're passionate about building compelling systems, love mentoring others, and thrive in a creative, combat-focused environment, we’d love to hear from you.

Reports: This position will report to Game Director.

Responsibilities: Responsibilities include, but are not limited to:

• Lead the vision and execution of player progression, meta systems, and engagement loops across single and multiplayer experiences.
• Define and drive KPIs for progression systems that align with player satisfaction and business goals.
• Mentor and guide systems designers, fostering a culture of excellence, collaboration, and innovation.
• Own major feature areas from concept through implementation, ensuring quality and consistency across the game.
• Collaborate cross-functionally with engineering, art, UX, and production to ensure systems are well-integrated and technically feasible.
• Establish and evangelize best practices for systems design, documentation, and tool usage.
• Anticipate and resolve design challenges, proactively improving workflows and pipelines.
• Playtest and iterate on systems regularly, using data and player feedback to refine and optimize.

Requirements

• 10+ years of experience in the games industry, with a focus on systems design and progression.
• Proven leadership experience, including mentoring designers and leading cross-functional initiatives.
• Shipped at least one AAA title with significant ownership of progression or meta systems.
• Deep understanding of player psychology, engagement strategies, and content pacing.
• Strong analytical skills, with the ability to translate complex systems into clear, actionable designs.
• Experience collaborating with engineering on tool development and pipeline optimization.
• Excellent communication and documentation skills, with fluency in PowerPoint, Word, Excel, Visio, etc.
• Strategic mindset, balancing creative vision with technical and business constraints.

Preferred Qualifications

• Experience with Unreal Engine, including scripting and integration into production pipelines.
• Strong technical scripting skills and a willingness to learn new tools and technologies.
• Passion for combat-oriented games, player progression, and Skybound’s unique properties.

Job Type: Regular, Full-Time

Salary Range: $125,000 - $165,000

• Actual base salary is dependent on several factors including but not limited to: market dynamics, location and region, experience, specialized skills/training (education), level of responsibility, budgetary considerations, tenure at the company (for current employees), etc.
• The salary range listed is just one component of the total compensation package for employees
• Compensation decisions are dependent on circumstances of each role

Skybound offers a wide array of benefits including medical, dental, vision, life insurance, flexible spending and dependent care accounts, as well as free counseling through our Employee Assistance Program (EAP). We also offer a 401K plan with 4% match, 12 weeks of paid parental leave, generous time off, wellness benefits, and tuition reimbursement.

Company Overview

Skybound is a multiplatform content company working closely with creators and their intellectual properties, extending stories and universes to new platforms, including comics, television, film, tabletop and video games, books, digital content, events, and beyond. We are home to critically-acclaimed global franchises, including The Walking Dead and Invincible.

Skybound Games produces, publishes and distributes video and tabletop games across all genres, including the multi-million-unit selling The Walking Dead video game series. In addition to our wholly-owned franchises, we work with independent developers to foster and create original games with compelling characters and worlds, strong creator and artistic focus, and innovative approaches to engaging genres.

Invincible is one of Skybound's tentpole franchises (celebrating 20 years!) and spans the world of comic books, merchandise, video games, and the critically acclaimed adult animated television series on Prime Video. Now in its second season, the television show has consistently ranked as one of Prime Videos top-streamed series with a 99% score on Rotten Tomatoes. Based on the groundbreaking comic book by Robert Kirkman, Cory Walker, and Ryan Ottley, Invincible revolves around 18-year-old Mark Grayson, who’s just like every other guy his age—except his father is (or was) the most powerful superhero on the planet. Still reeling from Nolan’s betrayal in Season One, Mark struggles to rebuild his life as he faces a host of new threats, all while battling his greatest fear - that he might become his father without even knowing it.

The show stars Steven Yeun, with Sandra Oh, Zazie Beetz, Grey Griffin, Chris Diamantopoulos, Walton Goggins, Gillian Jacobs, Jason Mantzoukas, Ross Marquand, Khary Payton, Zachary Quinto, Andrew Rannells, Kevin Michael Richardson, Seth Rogen, and J.K. Simmons. Executive producers include Skybound's own Kirkman, David Alpert, and Margaret M. Dean.

Equal Opportunity Employer

At Skybound we value diversity and are looking for extraordinary employees of all backgrounds! Skybound is an Equal Opportunity Employer and provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, citizenship, age, genetic information, disability, hair texture or veteran status. In addition to federal law requirements, Skybound complies with all applicable state and local laws governing nondiscrimination.

Skybound will consider applicants with criminal histories in a manner consistent with the CA Fair Chance Act and Los Angeles Fair Chance Initiative for Hiring Ordinance.

For more information on our Privacy Policy, visit: working/work at home options are available for this role.

You will be based in our San Francisco or New York City office and will be required to be in office 3x/week.

Rippling gives businesses one place to run HR, IT, and Finance. It brings together all of the workforce systems that are normally scattered across a company, like payroll, expenses, benefits, and computers. For the first time ever, you can manage and automate every part of the employee lifecycle in a single system.

Take onboarding, for example. With Rippling, you can hire a new employee anywhere in the world and set up their payroll, corporate card, computer, benefits, and even third-party apps like Slack and Microsoft 365—all within 90 seconds.

Based in San Francisco, CA, Rippling has raised $1.4B+ from the world’s top investors—including Kleiner Perkins, Founders Fund, Sequoia, Greenoaks, and Bedrock—and was named one of America's best startup employers by Forbes.

We prioritize candidate safety. Please be aware that all official communication will only be sent from @ addresses.

About the role

We’re looking for a Product Marketing Manager to translate Rippling’s products and platform capabilities into powerful, performance-driven stories that inspire customers to act.

This is not a traditional product marketing role, it’s a hands‑on marketing role for someone who can craft narratives, create assets, and ship campaigns that connect product innovation to customer outcomes.

You’ll build and maintain a solutions and automation use‑case marketing engine that spans product demo videos, landing pages, emails, and a growing library of modular creative assets, all designed to drive engagement, adoption, and expansion.

The ideal candidate is a true marketer : someone who can uncover customer insights, write compelling copy, and create content that performs. You thrive in the gap between product and growth, turning technical value into tangible results.

• 
  
• Develop and Own Solutions Marketing Frameworks
  
• Build a use case and automation library that connects Rippling’s products to real customer problems and outcomes, with a strong focus on cross‑product use cases and automation.
  
• Own the lifecycle of the use case library: build it, maintain it with new content, and make it engaging and “marketed,” not just documented.
  
• Define messaging frameworks that position Rippling as a single, unified solution across people, spend, IT, and beyond.
  
• Highlight automation as a core value proposition, with specific examples of what customers can actually automate (e.g., triggering a Slack message when a rep exceeds quota and automating bonus payouts upon VP approval).
  
• Partner with GTM, corporate, and integrated marketing teams to ensure consistent storytelling across campaigns and customer touchpoints.
  
• Create and Ship Performance Marketing Content
  
• Write and produce emails, landing pages, ad copy, and coordinate demo videos that showcase Rippling’s value in an engaging, measurable way.
  
• Translate complex product features into creative that converts, balancing clarity, storytelling, and performance.
  
• Test, analyze, and iterate on messaging to improve engagement and conversion rates.
  
• Develop content and campaigns around “automation recipes” or “playbooks” that demonstrate real‑world automations.
  
• Work toward launching a public gallery of community‑authored automation playbooks that customers can browse, deploy, and share.
  
• Lead Product‑Connected Creative Campaigns
  
• Partner with GTM, brand, and product teams to identify marketing moments that align with feature launches or product updates.
  
• Develop performance‑focused video content that highlights product functionality through a marketing lens.
  
• Build scalable creative templates and narratives that can be reused across lifecycle and growth programs.
  
• Launch “Automation of the Day” video content series for social media to showcase customer‑created playbooks.
  
• Build engagement features such as leaderboards of top automations, newsletter spotlights, and awards programs recognizing the most innovative customer‑created playbooks.
  
• Collaborate and Influence Across Teams
  
• Work cross‑functionally with creative, product, and demand generation to align messaging across all channels.
  
• Support customer and field marketing teams with tailored assets and positioning for specific audiences or industries.
  
• Ensure the entire GTM org can articulate a consistent, compelling story about Rippling’s solutions.
  
• Collaborate with customers and partners to co‑market automation playbooks and drive community‑led distribution.
  

• 
  
• 3+ years in product marketing, or growth marketing at a B2B SaaS company.
  
• Strong copywriting and storytelling skills, you can write emails, scripts, and landing pages that drive measurable results.
  
• Experience creating video or performance creative tied to product launches or campaigns.
  
• Demonstrated ability to own the process end‑to‑end, from concepting and writing to testing and optimization.
  
• Data‑informed and experiment‑oriented: you use insights to refine messaging and creative direction.
  
• Ability to collaborate across marketing, creative, and product teams in a fast‑paced, iterative environment.
  
• Growth mindset: eager to test, learn, and evolve Rippling’s marketing storytelling model.
  
• Background in solutions or lifecycle marketing with strong familiarity in B2B SaaS.
  
• Portfolio of shipped marketing work, especially emails, landing pages, or campaign creative that shows both strategy and execution.
  
• Experience building community‑led content libraries (e.g., playbooks, recipe galleries, or automation showcases).
  

Rippling is an equal opportunity employer. We are committed to building a diverse and inclusive workforce and do not discriminate based on race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other legally protected characteristics, Rippling is committed to providing reasonable accommodations for candidates with disabilities who need assistance during the hiring process. To request a reasonable accommodation, please email

Rippling highly values having employees working in-office to foster a collaborative work environment and company culture. For office‑based employees (employees who live within a defined radius of a Rippling office), Rippling considers working in the office, at least three days a week under current policy, to be an essential function of the employee's role.

This role will receive a competitive salary + benefits + equity. The salary for US‑based employees will be aligned with one of the ranges below based on location; see which tier applies to your location here.

A variety of factors are considered when determining someone’s compensation–including a candidate’s professional background, experience, and location. Final offer amounts may vary from the amounts listed below.

The pay range for this role is:

123,000 - 205,000 USD per year (US Tier 1)

You will be based in our San Francisco or New York City office and will be required to be in office 3x/week.

Rippling gives businesses one place to run HR, IT, and Finance. It brings together all of the workforce systems that are normally scattered across a company, like payroll, expenses, benefits, and computers. For the first time ever, you can manage and automate every part of the employee lifecycle in a single system.

Take onboarding, for example. With Rippling, you can hire a new employee anywhere in the world and set up their payroll, corporate card, computer, benefits, and even third-party apps like Slack and Microsoft 365—all within 90 seconds.

Based in San Francisco, CA, Rippling has raised $1.4B+ from the world’s top investors—including Kleiner Perkins, Founders Fund, Sequoia, Greenoaks, and Bedrock—and was named one of America's best startup employers by Forbes.

We prioritize candidate safety. Please be aware that all official communication will only be sent from @ addresses.

About the role

We’re looking for a Product Marketing Manager to translate Rippling’s products and platform capabilities into powerful, performance-driven stories that inspire customers to act.

This is not a traditional product marketing role, it’s a hands‑on marketing role for someone who can craft narratives, create assets, and ship campaigns that connect product innovation to customer outcomes.

You’ll build and maintain a solutions and automation use case marketing engine that spans product demo videos, landing pages, emails, and a growing library of modular creative assets, all designed to drive engagement, adoption, and expansion.

The ideal candidate is a true marketer : someone who can uncover customer insights, write compelling copy, and create content that performs. You thrive in the gap between product and growth , turning technical value into tangible results.

• 
  
• Develop and Own Solutions Marketing Frameworks
  
• Build a use case and automation library that connects Rippling’s products to real customer problems and outcomes, with a strong focus on cross‑product use cases and automation.
  
• Own the lifecycle of the use case library: build it, maintain it with new content, and make it engaging and “marketed,” not just documented.
  
• Define messaging frameworks that position Rippling as a single, unified solution across people, spend, IT, and beyond.
  
• Highlight automation as a core value proposition, with specific examples of what customers can actually automate (e.g., triggering a Slack message when a rep exceeds quota and automating bonus payouts upon VP approval).
  
• Partner with GTM, corporate, and integrated marketing teams to ensure consistent storytelling across campaigns and customer touchpoints.
  
• Create and Ship Performance Marketing Content
  
• Write and produce emails, landing pages, ad copy, and coordinate demo videos that showcase Rippling’s value in an engaging, measurable way.
  
• Translate complex product features into creative that converts, balancing clarity, storytelling, and performance.
  
• Test, analyze, and iterate on messaging to improve engagement and conversion rates.
  
• Develop content and campaigns around “automation recipes” or “playbooks” that demonstrate real‑world automations.
  
• Work toward launching a public gallery of community‑authored automation playbooks that customers can browse, deploy, and share.
  
• Lead Product-Connected Creative Campaigns
  
• Partner with GTM, brand, and product teams to identify marketing moments that align with feature launches or product updates.
  
• Develop performance‑focused video content that highlights product functionality through a marketing lens.
  
• Build scalable creative templates and narratives that can be reused across lifecycle and growth programs.
  
• Launch “Automation of the Day” video content series for social media to showcase customer‑created playbooks.
  
• Build engagement features such as leaderboards of top automations, newsletter spotlights, and awards programs recognizing the most innovative customer‑created playbooks.
  
• Collaborate and Influence Across Teams
  
• Work cross‑functionally with creative, product, and demand generation to align messaging across all channels.
  
• Support customer and field marketing teams with tailored assets and positioning for specific audiences or industries.
  
• Ensure the entire GTM org can articulate a consistent, compelling story about Rippling’s solutions.
  
• Collaborate with customers and partners to co‑market automation playbooks and drive community‑led distribution.
  

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• 3+ years in product marketing, or growth marketing at a B2B SaaS company.
  
• Strong copywriting and storytelling skills, you can write emails, scripts, and landing pages that drive measurable results.
  
• Experience creating video or performance creative tied to product launches or campaigns.
  
• Demonstrated ability to own the process end‑to‑end , from concepting and writing to testing and optimization.
  
• Data‑informed and experiment‑oriented: you use insights to refine messaging and creative direction.
  
• Ability to collaborate across marketing, creative, and product teams in a fast‑paced, iterative environment.
  
• Growth mindset: eager to test, learn, and evolve Rippling’s marketing storytelling model.
  
• Background in solutions or lifecycle marketing with strong familiarity in B2B SaaS.
  
• Portfolio of shipped marketing work , especially emails, landing pages, or campaign creative that shows both strategy and execution.
  
• Experience building community‑led content libraries (e.g., playbooks, recipe galleries, or automation showcases).
  

Rippling is an equal opportunity employer. We are committed to building a diverse and inclusive workforce and do not discriminate based on race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other legally protected characteristics, Rippling is committed to providing reasonable accommodations for candidates with disabilities who need assistance during the hiring process. To request a reasonable accommodation, please email

Rippling highly values having employees working in‑office to foster a collaborative work environment and company culture. For office‑based employees (employees who live within a defined radius of a Rippling office), Rippling considers working in the office, at least three days a week under current policy, to be an essential function of the employee’s role.

This role will receive a competitive salary + benefits + equity. The salary for US‑based employees will be aligned with one of the ranges below based on location; see which tier applies to your location here .

A variety of factors are considered when determining someone’s compensation–including a candidate’s professional background, experience, and location. Final offer amounts may vary from the amounts listed below.

The pay range for this role is:

123,000 - 215,250 USD per year (US Tier 1)

About the Remote Opportunity: This is only for candidates with significant patent prosecution experience.

MNF Global Legal Recruiting partners with top AmLaw 100 and premier boutique intellectual property firms nationwide. One of our clients—a highly regarded, technology-focused IP firm—is seeking experienced patent attorneys and patent agents with strong technical backgrounds in Software such as AI, Machine Learning, Cloud, and Data Storage.

Remote: This role offers full remote flexibility while providing access to sophisticated, high-profile work and a collaborative team environment.

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• Artificial Intelligence and Machine Learning algorithms and applications
  
• Cloud computing
  
• 5G/6G, wireless telecom, electrical, software, telecom, semiconductor, computer-related technologies
  
• Medical devices, automotive, aerospace, and construction equipment
  

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• Draft and/or prosecute U.S. and international patent applications
  

Fully remote with flexible work arrangements; productivity compensation with base salary; access to cutting-edge emerging technology matters; collegial team culture.

Salary Range: $180,000 – $350,000 annually, depending on your productivity.

Apply through this posting to be considered. All applications are handled confidentially.

Since 2007, MNF Global Legal Recruiting has specialized in placing patent attorneys, patent agents, and technical specialists in top law firms nationwide. We partner with you to understand your long-term career goals and connect you with opportunities that match your technical expertise and professional ambitions.

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• J.D. with admission to at least one state bar or registered USPTO Patent Agent
  
• 3+ years of patent prosecution experience in AI, ML, wireless communications, and/or semiconductors
  
• Degree in Electrical Engineering, Computer Engineering, Computer Science, or Physics (advanced degree preferred but not required)
  
• Strong writing and client communication skills
  
• Ability to work independently and manage multiple priorities in a remote environment
  

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• Top Benefits